cnn

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

Deformable Convolutional Networks v2 with Pytorch

:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).

Paper reading notes on Deep Learning and Machine Learning

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Diagrams for visualizing neural network architecture

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

Bolt is a deep learning library with high performance and heterogeneous flexibility.

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

多标签文本分类，多标签分类，文本分类, multi-label, classifier, text classification, BERT, seq2seq，attention, multi-label-classification

Exercise notebooks for CVND.

:books: 计算机体系架构、嵌入式系统基础与主流编程语言相关内容总结

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

A Benchmark of Text Classification in PyTorch

臺灣大學 (NTU) 李宏毅教授「機器學習 (Machine Learning) 2021 Spring 」課程筆記

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

LCNN: End-to-End Wireframe Parsing

✨ 首个CJK（中日韩）字体识别以及样式提取模型 YuzuMarker的字体识别模型与实现 / First-ever CJK (Chinese Japanese Korean) Font Recognition and Style Extractor, side project of YuzuMarker

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

情感分析、文本分类、词典、bayes、sentiment analysis、TextCNN、classification、tensorflow、BERT、CNN、text classification

深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解。